Predictive Intelligence in Medicine : Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / edited by Islem Rekik, Ehsan Adeli, Sang Hyun Park.

Format:

Book

Contributor:

Rekik, Islem, editor.

Adeli, Ehsan, editor.

Park, Sang Hyun, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11843.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11843

Language:

English

Subjects (All):

Artificial intelligence.

Mathematical statistics.

Optical data processing.

Algorithms.

Data mining.

Artificial Intelligence.

Probability and Statistics in Computer Science.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Algorithm Analysis and Problem Complexity.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Probability and Statistics in Computer Science.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Algorithm Analysis and Problem Complexity.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XIII, 178 pages) : 58 illustrations, 48 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine. .

Contents:

TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data

Inter-fractional Respiratory Motion Modelling from Abdominal Ultrasound: A Feasibility Study

Adaptive Neuro-Fuzzy Inference System-based Chaotic Swarm Intelligence Hybrid Model for Recognition of Mild Cognitive Impairment from Resting-state fMRI

Deep Learning via Fused Bidirectional Attention Stacked Long Short-term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening

Modeling Disease Progression In Retinal OCTs With Longitudinal Self-Supervised Learning

Predicting Response to the Antidepressant Bupropion using Pretreatment fMRI

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI using Bidirectionally Supervised Sample Selection

Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer using a Non-Proportional Hazards Model

7 years of Developing Seed Techniques for Alzheimer's Disease Diagnosis using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis

Generative Adversarial Irregularity Detection in Mammography Images

Hierarchical Adversarial Connectomic Domain Alignment for Target Brain Graph Prediction and Classification From a Source Graph

Predicting High-Resolution Brain Networks Using Hierarchically Embedded and Aligned Multi-Resolution Neighborhoods

Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks

Prediction of Clinical Scores for Subjective Cognitive Decline and Mild Cognitive Impairment

Diagnosis of Parkinsons Disease in Genetic Cohort Patients via Stage-wise Hierarchical Deep Polynomial Ensemble learning

Automatic Detection of Bowel Disease with Residual Networks

Support Vector based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimers Disease

Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks.

Other Format:

Printed edition:

ISBN:

978-3-030-32281-6

9783030322816

Access Restriction:

Restricted for use by site license.